4 papers · 1 filter
Quantum-Augmented AI/ML for O-RAN: Hierarchical Threat Detection with Synergistic Intelligence and Interpretability (Technical Report)
Tan Le, Van Le, Sachin Shetty
Open Radio Access Networks (O-RAN) enhance modularity and telemetry granularity but also widen the cybersecurity attack surface across disaggregated control, user and management pl…
SpoofTrackBench: Interpretable AI for Spoof-Aware UAV Tracking and Benchmarking
Van Le, Tan Le
SpoofTrackBench is a reproducible, modular benchmark for evaluating adversarial robustness in real-time localization and tracking (RTLS) systems under radar spoofing. Leveraging th…
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
Tan Le, Van Le, Sachin Shetty
Indoor robotic systems within Cyber-Physical Systems (CPS) are increasingly exposed to Denial of Service (DoS) attacks that compromise localization, control and telemetry integrity…
DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
Tan Le, Van Le
We propose the joint graph attention neural network (GAT), clustering with adaptive neighbors (CAN) and probabilistic graphical model for dynamic power flow analysis and fault char…